{"id":"https://openalex.org/W3162724622","doi":"https://doi.org/10.1109/icpr48806.2021.9412546","title":"DA-RefineNet: Dual-inputs Attention RefineNet for Whole Slide Image Segmentation","display_name":"DA-RefineNet: Dual-inputs Attention RefineNet for Whole Slide Image Segmentation","publication_year":2021,"publication_date":"2021-01-10","ids":{"openalex":"https://openalex.org/W3162724622","doi":"https://doi.org/10.1109/icpr48806.2021.9412546","mag":"3162724622"},"language":"en","primary_location":{"id":"doi:10.1109/icpr48806.2021.9412546","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr48806.2021.9412546","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 25th International Conference on Pattern Recognition (ICPR)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5069278632","display_name":"Ziqiang Li","orcid":"https://orcid.org/0000-0002-7208-9003"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ziqiang Li","raw_affiliation_strings":["CAS Key Laboratory of Technology in Geo-spatial Information Processing and Application Systems, University of Science and Technology of China, Hefei, Anhui, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CAS Key Laboratory of Technology in Geo-spatial Information Processing and Application Systems, University of Science and Technology of China, Hefei, Anhui, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047226398","display_name":"Rentuo Tao","orcid":"https://orcid.org/0000-0002-9023-0066"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Rentuo Tao","raw_affiliation_strings":["CAS Key Laboratory of Technology in Geo-spatial Information Processing and Application Systems, University of Science and Technology of China, Hefei, Anhui, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CAS Key Laboratory of Technology in Geo-spatial Information Processing and Application Systems, University of Science and Technology of China, Hefei, Anhui, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101057821","display_name":"Qianrun Wu","orcid":null},"institutions":[{"id":"https://openalex.org/I16365422","display_name":"Hefei University of Technology","ror":"https://ror.org/02czkny70","country_code":"CN","type":"education","lineage":["https://openalex.org/I16365422"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qianrun Wu","raw_affiliation_strings":["School of foreign studies, Hefei University of Technology, Hefei, Anhui, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of foreign studies, Hefei University of Technology, Hefei, Anhui, China","institution_ids":["https://openalex.org/I16365422"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100781451","display_name":"Bin Li","orcid":"https://orcid.org/0000-0002-5635-2916"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bin Li","raw_affiliation_strings":["CAS Key Laboratory of Technology in Geo-spatial Information Processing and Application Systems, University of Science and Technology of China, Hefei, Anhui, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CAS Key Laboratory of Technology in Geo-spatial Information Processing and Application Systems, University of Science and Technology of China, Hefei, Anhui, China","institution_ids":["https://openalex.org/I126520041"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.2931,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.49823194,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1918","last_page":"1925"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9983000159263611,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7949829697608948},{"id":"https://openalex.org/keywords/sliding-window-protocol","display_name":"Sliding window protocol","score":0.7718799710273743},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.7477201223373413},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7072331309318542},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.6960811614990234},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6141703128814697},{"id":"https://openalex.org/keywords/scale-space-segmentation","display_name":"Scale-space segmentation","score":0.5241572856903076},{"id":"https://openalex.org/keywords/segmentation-based-object-categorization","display_name":"Segmentation-based object categorization","score":0.5092531442642212},{"id":"https://openalex.org/keywords/dual","display_name":"Dual (grammatical number)","score":0.5027706623077393},{"id":"https://openalex.org/keywords/window","display_name":"Window (computing)","score":0.48004233837127686},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.45675334334373474},{"id":"https://openalex.org/keywords/region-growing","display_name":"Region growing","score":0.4131917953491211},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3913164436817169},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.09027990698814392}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7949829697608948},{"id":"https://openalex.org/C102392041","wikidata":"https://www.wikidata.org/wiki/Q592860","display_name":"Sliding window protocol","level":3,"score":0.7718799710273743},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7477201223373413},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7072331309318542},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.6960811614990234},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6141703128814697},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.5241572856903076},{"id":"https://openalex.org/C25694479","wikidata":"https://www.wikidata.org/wiki/Q7446278","display_name":"Segmentation-based object categorization","level":5,"score":0.5092531442642212},{"id":"https://openalex.org/C2780980858","wikidata":"https://www.wikidata.org/wiki/Q110022","display_name":"Dual (grammatical number)","level":2,"score":0.5027706623077393},{"id":"https://openalex.org/C2778751112","wikidata":"https://www.wikidata.org/wiki/Q835016","display_name":"Window (computing)","level":2,"score":0.48004233837127686},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.45675334334373474},{"id":"https://openalex.org/C206824153","wikidata":"https://www.wikidata.org/wiki/Q1169834","display_name":"Region growing","level":5,"score":0.4131917953491211},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3913164436817169},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.09027990698814392},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C124952713","wikidata":"https://www.wikidata.org/wiki/Q8242","display_name":"Literature","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icpr48806.2021.9412546","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr48806.2021.9412546","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 25th International Conference on Pattern Recognition (ICPR)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5725982256","display_name":null,"funder_award_id":"U19B2044,61836011","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W114517082","https://openalex.org/W1901129140","https://openalex.org/W1903029394","https://openalex.org/W2046589280","https://openalex.org/W2062177968","https://openalex.org/W2097117768","https://openalex.org/W2112796928","https://openalex.org/W2118331541","https://openalex.org/W2134647348","https://openalex.org/W2183341477","https://openalex.org/W2194775991","https://openalex.org/W2302302587","https://openalex.org/W2324080174","https://openalex.org/W2563705555","https://openalex.org/W2607075141","https://openalex.org/W2619094550","https://openalex.org/W2799166040","https://openalex.org/W2805203882","https://openalex.org/W2806835801","https://openalex.org/W2808553480","https://openalex.org/W2883889914","https://openalex.org/W2885824038","https://openalex.org/W2921577390","https://openalex.org/W2964157630","https://openalex.org/W2964227007","https://openalex.org/W2964317032","https://openalex.org/W6639824700","https://openalex.org/W6738991376","https://openalex.org/W6752308062"],"related_works":["https://openalex.org/W2394279717","https://openalex.org/W2364730859","https://openalex.org/W3144569342","https://openalex.org/W2386644571","https://openalex.org/W2551987074","https://openalex.org/W2372421320","https://openalex.org/W2185902295","https://openalex.org/W2531745538","https://openalex.org/W2353364291","https://openalex.org/W2547242578"],"abstract_inverted_index":{"Automatic":[0],"medical":[1,26],"image":[2,19,45],"segmentation":[3,20,121],"has":[4],"wide":[5],"applications":[6],"for":[7,42,49,65,79],"disease":[8],"diagnosing.":[9],"However,":[10],"it":[11],"is":[12,37,60],"much":[13],"more":[14],"challenging":[15],"than":[16],"natural":[17],"optical":[18],"due":[21],"to":[22,100,123],"the":[23,29,54,57,102,105,108,112],"high-resolution":[24],"of":[25,104],"images":[27],"and":[28,87],"corresponding":[30],"huge":[31],"computation":[32],"cost.":[33],"The":[34],"sliding":[35,55],"window":[36],"a":[38,72],"commonly":[39],"used":[40],"technique":[41],"whole":[43],"slide":[44],"(WSI)":[46],"segmentation,":[47,81],"however,":[48],"these":[50],"methods":[51,124],"based":[52],"on":[53,119,126],"window,":[56],"main":[58],"drawback":[59],"lacking":[61],"global":[62,88],"contextual":[63],"information":[64,86,90],"supervision.":[66],"In":[67],"this":[68],"paper,":[69],"we":[70],"propose":[71],"dual-inputs":[73],"attention":[74],"network":[75],"(denoted":[76],"as":[77],"DA-RefineNet)":[78],"WSI":[80,120],"where":[82],"both":[83],"local":[84],"fine-grained":[85],"coarse":[89],"can":[91,115],"be":[92],"efficiently":[93],"utilized.":[94],"Sufficient":[95],"comparative":[96],"experiments":[97],"are":[98],"conducted":[99],"evaluate":[101],"effectiveness":[103],"proposed":[106,113],"method,":[107],"results":[109],"prove":[110],"that":[111],"method":[114],"achieve":[116],"better":[117],"performance":[118],"compared":[122],"relying":[125],"single-input.":[127]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}